Noun Incorporation: Essentials and Extensions
Why this work is in the frame
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Bibliographic record
Abstract
Abstract This paper presents an overview of the principal debates in the literature on noun incorporation, citing key examples and references. There has been much discussion about which constructions can rightly fall under the term ‘noun incorporation’; for example, compounding, denominal, deverbal, light verb, conflation, and narrow scope indefinite constructions have all been treated as noun incorporation constructions. In addition, there has been much discussion about where in the grammar noun incorporation should be handled: the lexicon or the syntax. This debate has shifted with the development of theories without a clear lexicon–syntax division. In the early studies, the main focus was on the morphology of noun incorporation, but in recent years, the focus has shifted to understanding the semantics of the construction, including semantic incorporation, pseudo noun incorporation, detransitivizing, and noun stripping constructions. In addition, there have been many empirical studies over the years exploring subject and modifier incorporation, incorporation of larger phrases and other topics. Noun incorporation studies also intersect with other areas such as bare nominals, complex predicates, possessor raising constructions, and classifier systems. These issues are reviewed in this paper.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it